Tropical precipitation anomalies and d‐excess evolution during El Niño 2014‐16

The last 2014‐16 El Niño event was among the three strongest episodes on record. El Niño considerably changes annual and seasonal precipitation across the tropics. Here, we present a unique stable isotope data set of daily precipitation collected in Costa Rica prior to, during, and after El Niño 2014‐16, in combination with Lagrangian moisture source and precipitation anomaly diagnostics. δ²H composition ranged from ‐129.4 to +18.1 (‰) while δ¹⁸O ranged from ‐17.3 to +1.0 (‰). No significant difference was observed among δ¹⁸O (P=0.186) and δ²H (P=0.664) mean annual compositions. However, mean annual d‐excess showed a significant decreasing trend (from +13.3 to +8.7 ‰) (P<0.001) with values ranging from +26.6 to ‐13.9 ‰ prior to and during the El Niño evolution. The latter decrease in d‐excess can be partly explained by an enhanced moisture flux convergence across the southeastern Caribbean Sea coupled with moisture transport from northern South America by means of an increased Caribbean Low Level Jet regime. During 2014‐15, precipitation deficit across the Pacific domain averaged 46% resulting in a very severe drought; while a 94% precipitation surplus was observed in the Caribbean domain. Understanding these regional moisture transport mechanisms during a strong El Niño event may contribute to a) better understanding of precipitation anomalies in the tropics and b) re‐evaluate past stable isotope interpretations of ENSO events in paleoclimatic archives within the Central America region.     

Deformability characteristics of brazilian laterites

This paper summarizes the resilient and permanent deformation characteristics of laterite gravels, determined by cyclic loading in triaxial tests of compacted specimens. A study of laterite pavements was carried out on eight paved road sections in the state of Mato Grosso. Also reported is the influence of fine sand admixture, specimen size and soaking in two laterite samples from Roraima and Rondônia in the North of Brazil. The experimental relationships of resilient moduli against applied stresses are interpreted empirically for models what may be incorporated in a structural analysis of full depth of laterite pavement.     

Natural recolonization of a productive tropical pond: Day to day variations in the photosynthetic parameters

Chlorophyll pigments (CHL), primary productivity (PP) and particulate nitrogen (N_p) in relation to several environmental factors were monitored during planktonic colonization of an aquaculture pond (Layo, Côte d'Ivoire). How interactions between the organisms are established in an initially azoic environment were investigated. From March, 15 (D1) to March, 31 (D16), the system transformation went through three stages. First, a precolonization by heterotrophic microbial community from D1 to D2 (N_p < 1 m maximum at D2: 243 mg m^–2; CHL around 0). Then, a pioneer microalgal community developped from D3 to D7 (maximum CHL on D6: 19 mg m^–2; PP: 1.0 g C m^–2 d^–1) with a significant contribution of picoplankton (CHL and PP < 3 m: 33 and 23% of the total, respectively). Finally, a second microalgal colonization was noticed from D9 to D12 (maximum CHL: 55 mg m^–2, PP: 2.8 g C m^–2 d^–1), largely dominated by nanoplankton (CHL and PP > 3 m: 95 and 99% of the total, respectively). Overall, photosynthetic activity appeared to be closely linked to algal biomass. The study of autotrophic biomass and activity in different size classes in relation to the other parameters allowed us to precise the origin of the biomass fluctuations. The first bloom appeared to be controlled by selective grazing on small algae. The second algal development ended when N requirement represented at least 69% of N supply (in the N — NH₄ form). This control was enhanced by the appearance of rotifers, leading to a more complex equilibrium.     

中国南亚热带水库敞水区春季轮虫群落结构:基于分类特征和功能性状的分析

轮虫是淡水后生浮游动物中种类最丰富的类群,是水体生态系统食物链的关键环节.很多种类的轮虫对环境变化敏感,环境条件的改变能够导致其群落结构的快速变化,因此,轮虫群落的组成与变化可从生态位角度得以解释.物种的功能性状可提供更强的生态适应性信号,轮虫的个体大小是反映其代谢与行为的综合性状,而咀嚼器、防御结构及防御行为则反映了...     

Temporal and spatial rainfall analysis across a humid tropical catchment

Temporal and spatial rainfall patterns were analysed to describe the distribution of daily rainfall across a medium‐sized (379km²) tropical catchment. Investigations were carried out to assess whether a climatological variogram model was appropriate for mapping rainfall taking into consideration the changing rainfall characteristics through the wet season. Exploratory, frequency and moving average analyses of 30 years' daily precipitation data were used to describe the reliability and structure of the rainfall regime. Four phases in the wet season were distinguished, with the peak period (mid‐August to mid‐September) representing the wettest period. A low‐cost rain gauge network of 36 plastic gauges with overflow reservoirs was installed and monitored to obtain spatially distributed rainfall data. Geostatistical techniques were used to develop global and wet season phase climatological variograms. The unscaled climatological variograms were cross‐validated and compared using a range of rainfall events. Ordinary Kriging was used as the interpolation method. The global climatological variogram performed better, and was used to optimize the number and location of rain gauges in the network. The research showed that although distinct wet season phases could be established based on the temporal analysis of daily rainfall characteristics, the interpolation of daily rainfall across a medium‐sized catchment based on spatial analysis was better served by using the global rather than the wet season phase climatological variogram model. Copyright © 2001 John Wiley & Sons, Ltd.     

全球重力异常对大气活动中心、气旋多发区的影响

利用卫星观测和地面实测资料统一归算的全球空间重力异常,探讨重力异常对全球冬夏大气活动中心、热带气旋以及温带气旋和高原低涡多发区的影响,并对其物理机理作一简要讨论.认为重力异常是大气运动发生发展不可忽视的因子之一.     

Effective typhoon characteristics and their effects on hourly reservoir inflow forecasting

This paper describes the identification of effective typhoon characteristics and the development of a new type of hourly reservoir inflow forecasting model with the effective typhoon characteristics. Firstly, a comparison of support vector machines (SVMs), which is a novel kind of neural networks (NNs), and back-propagation networks (BPNs) is made to select an appropriate NN-based model. The results show that SVM-based models are more appropriate than BPN-based models because of their higher accuracy and much higher efficiency. In addition, effective typhoon characteristics for improving forecasting performance are identified from all the collected typhoon information. Then the effective typhoon characteristics (the position of the typhoon and the distance between the typhoon center and the reservoir) are added to the proposed SVM-based models. Next, a performance comparison of models with and without effective typhoon characteristics is conducted to clearly highlight the effects of effective typhoon characteristics on hourly reservoir inflow forecasting. To reach a just conclusion, the performance is evaluated by cross validation, and the improvement in performance due to the addition of effective typhoon characteristics is tested by paired comparison t-tests at the 5% significance level. The results confirm that effective typhoon characteristics do improve the forecasting performance and the improvement increases with increasing lead-time, especially when the rainfall data are not available. For four- to six-hour ahead forecasts, the improvement due to the addition of effective typhoon characteristics increases from 3% to 18% and from 10% to 113% for Categories I (rainfall data are available) and II (rainfall data are not available), respectively. In conclusion, effective typhoon characteristics are recommended as key inputs for reservoir inflow forecasting during typhoons. The proposed SVM-based models with effective typhoon characteristics are expected to provide more accurate forecasts than BPN-based models. The proposed modeling technique is also expected to be useful to support reservoir operation systems and other disaster warning systems.     

大兴安岭多年冻土泥炭地无机氮动态对秋季冻融的响应北大核心CSCD

大兴安岭多年冻土泥炭地是对全球变暖响应敏感的地区之一。在全球变暖、多年冻土退化背景下,为了探明秋季冻融对多年冻土泥炭地无机氮时空变化的影响,本研究于2019年9—11月以大兴安岭三种多年冻土泥炭地为研究对象进行野外原位实验,分析了秋季冻融前、中和后期多年冻土泥炭地浅层和深层土壤无机氮的时空变化特征以及浅层和深层土壤含水量和温度的变化规律,建立了土壤无机氮含量与土壤温度和含水量间的多元线性回归模型。研究表明:多年冻土小叶章泥炭地(XY)、兴安落叶松-泥炭藓泥炭地(XA)和白毛羊胡子苔草泥炭地(BM)的土壤铵态氮(NH_(4)^(+)-N)含量变化范围:(1.00±0.00)~(20.60±0.20)mg·kg^(-1),硝态氮(NO_(3)^(-)-N)含量的变化范围:(0.02±0.01)~(14.64±1.11)mg·kg^(-1),且无机氮以土壤NH_(4)^(+)-N为主;秋季冻融后期无机氮含量明显高于前期。尽管水热交互作用对该时期无机氮没有显著影响,但是在不同冻融阶段,无机氮对环境因子的响应程度存在差异:在秋季冻融前、中和后期浅层无机氮动态分别与浅层温度和含水量的变化相关,但在整个秋季冻融期间BM浅层无机氮含量仅对10~20 cm含水量存在响应(R^(2)=0.344,P<0.01)。研究表明,秋季冻融期内,多年冻土泥炭地无机氮发生初步累积,且浅层环境因子对无机氮响应程度最大。本研究可补充大兴安岭多年冻土泥炭地秋季冻融对土壤无机氮影响研究的相关数据,并为多年冻土泥炭地响应全球变暖的温室气体释放的研究提供基础数据支撑。     

DISTRIBUTIONS AND HYDROLOGICAL CHARACTERISTICS OF TROPICAL CYCLONE RAINSTORMS AND FLOODS IN CHINA

I.horoductionPleNorthwestPacificOceanisti1elnostfrequentlyaffeCtedareaoftropicalcyclone(TC).AboLIt36percentTCoftheworldoccurinffosarea[2],andthenumberofTCWhichlandedonChinawiti1n1akimumwindforcescalesoverlOisabout35percentofti1atintheeastemcoastalcoLUitriesofAsia[l].BothrainstormsandfloodsMide,theidriuenceofTCareheaVyinChina,suchastherainfalldePthof2749mm/3datXinliao,Taiwanandpeakdischargeof44,6oOm'/satHuanggo(55,42okn'),YalujiangRjver.Therefore,TCisanimportantfaCtorforflooddisas…